一种基于关联规则挖掘的改进算法

随着计算机技术和通信技术的不断发展，用户存储了越来越多、具有很高使用价值的信息，不断涌现的大量信息在给人们带来方便的同时也带来了问题，怎样提取有用信息使得数据挖掘技术应运而生．关联分析是数据挖掘的本质，关联规则挖掘是进行关联分析最常用的方法．在关联规则的Apriori算法的基础上，指出了该算法的不足之处，提出了一种新的改进算法，从而增强了算法的适应性．

A Reform Algorithm Based on Association Rules Mining

With the development computer technology and communication technology, users store more and more valuable content. Large amounts of information bring convenience to people, and at the same time they also bring a problem, that is how to extract useful information, which makes the data mining techniques emerged. Related analysis is the essence of data mining. Association rule mining is a common method in correlation analysis. The drawback of Apriori algorithm based on association rules is pointed out. A new improved algorithm is proposed to enhance the adaptability of the algorithm.